This table lists the benchmark results for the high-res multi-view scenario. The following metrics are evaluated:

(*) For exact definitions, detailing how potentially incomplete ground truth is taken into account, see our paper.

The datasets are grouped into different categories, and result averages are computed for a category and method if results of the method are available for all datasets within the category. Note that the category "all" includes both the high-res multi-view and the low-res many-view scenarios.

Methods with suffix _ROB may participate in the Robust Vision Challenge.

Click a dataset result cell to show a visualization of the reconstruction. For training datasets, ground truth and accuracy / completeness visualizations are also available. The visualizations may not work with mobile browsers.




Method Infoallhigh-res
multi-view
indooroutdoorbotani.boulde.bridgedoorexhibi.lectur.living.loungeobserv.old co.statueterrac.
sort bysort bysort bysort bysort bysort bysorted bysort bysort bysort bysort bysort bysort bysort bysort bysort by
MCST-MVS83.01 283.30 382.15 1192.84 257.58 1693.77 191.10 675.95 277.10 2793.09 2054.15 2695.57 1385.80 485.87 3993.31 11
DELS-MVS82.32 582.50 481.79 1286.80 4556.89 2892.77 286.30 8477.83 177.88 2492.13 3560.24 694.78 2278.97 3089.61 893.69 8
Christian Sormann, Emanuele Santellani, Mattia Rossi, Andreas Kuhn, Friedrich Fraundorfer: DELS-MVS: Deep Epipolar Line Search for Multi-View Stereo. Winter Conference on Applications of Computer Vision (WACV), 2023
SED-MVS81.92 781.75 882.44 889.48 1756.89 2892.48 388.94 2957.50 21184.61 494.09 458.81 1196.37 682.28 1287.60 1894.06 3
OPU-MVS81.71 1392.05 355.97 4792.48 394.01 667.21 295.10 1689.82 192.55 394.06 3
DVP-MVScopyleft81.30 981.00 1182.20 989.40 2057.45 1992.34 589.99 1657.71 20581.91 1293.64 1155.17 1996.44 281.68 1487.13 2292.72 23
Zhenlong Yuan, Jinguo Luo, Fei Shen, Zhaoxin Li, Cong Liu, Tianlu Mao, Zhaoqi Wang: DVP-MVS: Synergize Depth-Edge and Visibility Prior for Multi-View Stereo. AAAI2025
test_0728_SECOND82.20 989.50 1557.73 1392.34 588.88 3196.39 481.68 1487.13 2292.47 26
test072689.40 2057.45 1992.32 788.63 4057.71 20583.14 993.96 755.17 19
DPM-MVS82.39 482.36 682.49 680.12 18759.50 592.24 890.72 1069.37 2383.22 894.47 263.81 593.18 3474.02 6893.25 294.80 1
ETH3 D test640083.28 183.47 182.72 391.48 759.33 692.10 990.95 965.68 6080.67 1894.42 359.41 995.89 1286.74 389.75 792.94 18
CNVR-MVS81.76 881.90 781.33 1890.04 1057.70 1491.71 1088.87 3370.31 1777.64 2693.87 852.58 3393.91 2884.17 587.92 1692.39 28
PS-MVSNAJ80.06 1479.52 1681.68 1485.58 6060.97 391.69 1187.02 6970.62 1380.75 1793.22 1737.77 18492.50 4882.75 986.25 3691.57 50
CS-MVS80.02 1580.13 1379.68 3483.44 10356.75 3191.66 1287.84 5570.41 1675.69 3392.06 3951.47 4192.80 3981.17 2287.42 2189.49 102
xiu_mvs_v2_base79.86 1679.31 1781.53 1585.03 7660.73 491.65 1386.86 7270.30 1880.77 1693.07 2137.63 18992.28 5482.73 1085.71 4091.57 50
CANet80.90 1081.17 1080.09 3187.62 3854.21 9091.60 1486.47 8073.13 579.89 2193.10 1849.88 5592.98 3584.09 684.75 5293.08 16
lupinMVS78.38 2478.11 2679.19 4183.02 12055.24 6091.57 1584.82 12169.12 2476.67 2992.02 4044.82 10790.23 10580.83 2380.09 9092.08 37
NCCC79.57 1879.23 1880.59 2189.50 1556.99 2691.38 1688.17 4967.71 3873.81 4892.75 2446.88 7893.28 3278.79 3384.07 5791.50 54
test_yl75.85 6374.83 6878.91 4688.08 3451.94 14991.30 1789.28 2057.91 19971.19 8289.20 10542.03 14492.77 4069.41 9375.07 13692.01 40
DCV-MVSNet75.85 6374.83 6878.91 4688.08 3451.94 14991.30 1789.28 2057.91 19971.19 8289.20 10542.03 14492.77 4069.41 9375.07 13692.01 40
LFMVS78.52 2177.14 3682.67 489.58 1358.90 891.27 1988.05 5163.22 10074.63 4090.83 6641.38 15394.40 2375.42 5779.90 9594.72 2
VDD-MVS76.08 5974.97 6579.44 3784.27 8853.33 11691.13 2085.88 9165.33 6772.37 6789.34 10232.52 25092.76 4277.90 4275.96 12592.22 35
DeepPCF-MVS69.37 180.65 1181.56 977.94 8385.46 6649.56 20690.99 2186.66 7870.58 1480.07 2095.30 156.18 1790.97 8482.57 1186.22 3793.28 12
VNet77.99 3177.92 2878.19 7487.43 3950.12 19590.93 2291.41 467.48 4175.12 3690.15 8646.77 8091.00 8273.52 7378.46 10693.44 9
CLD-MVS75.60 6775.39 5876.24 12180.69 17852.40 13990.69 2386.20 8674.40 365.01 13488.93 10942.05 14390.58 9476.57 4873.96 14285.73 182
Zhaoxin Li, Wangmeng Zuo, Zhaoqi Wang, Lei Zhang: Confidence-based Large-scale Dense Multi-view Stereo. IEEE Transaction on Image Processing, 2020
test_part173.80 9072.13 9978.79 5485.92 5158.26 1090.60 2486.85 7363.98 8563.95 15181.54 21452.08 3792.24 5564.93 13159.32 24985.87 180
jason77.01 4376.45 4678.69 5879.69 19254.74 7790.56 2583.99 14568.26 2974.10 4690.91 6342.14 14189.99 10979.30 2979.12 10091.36 58
jason: jason.
IB-MVS68.87 274.01 8672.03 10479.94 3283.04 11955.50 5290.24 2688.65 3867.14 4361.38 17881.74 21153.21 2994.28 2460.45 16562.41 23290.03 91
Christian Sormann, Mattia Rossi, Andreas Kuhn and Friedrich Fraundorfer: IB-MVS: An Iterative Algorithm for Deep Multi-View Stereo based on Binary Decisions. BMVC 2021
VDDNet74.37 8172.13 9981.09 2079.58 19356.52 3590.02 2786.70 7752.61 26671.23 8187.20 14031.75 26093.96 2774.30 6675.77 12892.79 22
TSAR-MVS + GP.77.82 3277.59 3178.49 6385.25 7250.27 19290.02 2790.57 1156.58 22974.26 4591.60 5054.26 2492.16 5775.87 5179.91 9493.05 17
DeepC-MVS_fast67.50 378.00 3077.63 3079.13 4388.52 2755.12 6589.95 2985.98 9068.31 2871.33 8092.75 2445.52 9790.37 9871.15 8685.14 4891.91 42
Andreas Kuhn, Christian Sormann, Mattia Rossi, Oliver Erdler, Friedrich Fraundorfer: DeepC-MVS: Deep Confidence Prediction for Multi-View Stereo Reconstruction. 3DV 2020
HPM-MVS++copyleft80.50 1280.71 1279.88 3387.34 4055.20 6389.93 3087.55 6466.04 5979.46 2293.00 2253.10 3091.76 6480.40 2589.56 992.68 24
MG-MVS78.42 2376.99 3882.73 293.17 164.46 189.93 3088.51 4664.83 7473.52 5288.09 12548.07 6492.19 5662.24 14584.53 5491.53 52
VPNet72.07 11771.42 11174.04 16978.64 21447.17 25789.91 3287.97 5272.56 764.66 13785.04 16741.83 14888.33 15861.17 15460.97 23986.62 166
CS-MVS-test76.81 4976.52 4477.66 8783.47 10252.38 14189.87 3385.55 9565.32 6871.75 7490.53 7347.76 6892.73 4372.24 8182.22 6987.87 140
alignmvs78.08 2977.98 2778.39 6983.53 10153.22 11989.77 3485.45 9766.11 5476.59 3191.99 4254.07 2789.05 12977.34 4577.00 11792.89 20
APDe-MVS78.44 2278.20 2379.19 4188.56 2654.55 8589.76 3587.77 5955.91 23578.56 2392.49 2848.20 6392.65 4679.49 2783.04 6190.39 80
SteuartSystems-ACMMP77.08 4276.33 4879.34 3980.98 16855.31 5889.76 3586.91 7162.94 10471.65 7591.56 5142.33 13792.56 4777.14 4683.69 5990.15 87
Skip Steuart: Steuart Systems R&D Blog.
Anonymous20240521170.11 14467.88 15976.79 11487.20 4347.24 25689.49 3777.38 26554.88 24966.14 11786.84 14620.93 32791.54 6856.45 20371.62 16491.59 48
DP-MVS Recon71.99 11870.31 12577.01 10690.65 953.44 11089.37 3882.97 16656.33 23263.56 15989.47 9934.02 23592.15 5954.05 21572.41 15885.43 189
EPNet78.36 2578.49 2177.97 8185.49 6352.04 14789.36 3984.07 14273.22 477.03 2891.72 4749.32 5990.17 10773.46 7482.77 6291.69 45
Wanjuan Su, Wenbing Tao: Efficient Edge-Preserving Multi-View Stereo Network for Depth Estimation. AAAI 2023
xxxxxxxxxxxxxcwj77.31 3976.54 4279.61 3585.35 6856.34 3989.31 4072.84 31261.55 12574.63 4092.38 3047.75 6991.35 7378.18 3986.85 2791.15 62
save fliter85.35 6856.34 3989.31 4081.46 18761.55 125
CSCG80.41 1379.72 1482.49 689.12 2557.67 1589.29 4291.54 359.19 17071.82 7390.05 8959.72 896.04 1078.37 3588.40 1493.75 7
MAR-MVS76.76 5075.60 5580.21 2690.87 854.68 8189.14 4389.11 2462.95 10370.54 8792.33 3241.05 15494.95 1857.90 19086.55 3391.00 67
Zhenyu Xu, Yiguang Liu, Xuelei Shi, Ying Wang, Yunan Zheng: MARMVS: Matching Ambiguity Reduced Multiple View Stereo for Efficient Large Scale Scene Reconstruction. CVPR 2020
test_prior377.59 3577.33 3578.39 6986.35 4854.91 7489.04 4485.45 9761.88 12073.55 5091.46 5448.01 6689.70 11674.73 6185.46 4390.55 75
test_prior289.04 4461.88 12073.55 5091.46 5448.01 6674.73 6185.46 43
ET-MVSNet_ETH3D75.23 7274.08 7578.67 5984.52 8255.59 5088.92 4689.21 2268.06 3453.13 27690.22 8249.71 5687.62 18372.12 8270.82 17192.82 21
PVSNet_Blended76.53 5376.54 4276.50 11685.91 5251.83 15488.89 4784.24 13967.82 3669.09 9289.33 10446.70 8188.13 16575.43 5581.48 7789.55 100
Anonymous2024052969.71 15567.28 17477.00 10783.78 9850.36 18688.87 4885.10 11547.22 29764.03 14983.37 18627.93 28392.10 6057.78 19267.44 19388.53 129
testtj76.96 4476.48 4578.40 6889.89 1253.67 10088.72 4986.15 8754.56 25374.86 3892.31 3344.38 11291.97 6275.19 5982.24 6789.54 101
DPE-MVScopyleft79.82 1779.66 1580.29 2489.27 2455.08 6888.70 5087.92 5455.55 24081.21 1593.69 1056.51 1694.27 2578.36 3685.70 4191.51 53
Kehua Chen, Zhenlong Yuan, Tianlu Mao, Zhaoqi Wang: Dual-Level Precision Edges Guided Multi-View Stereo with Accurate Planarization. AAAI2025
RRT_test8_iter0572.74 10471.20 11477.36 9587.25 4253.51 10488.68 5189.53 1865.20 7161.32 17981.27 21645.89 9192.48 5065.99 11655.65 29086.10 174
PHI-MVS77.49 3677.00 3778.95 4585.33 7050.69 17588.57 5288.59 4458.14 19373.60 4993.31 1543.14 13093.79 2973.81 6988.53 1392.37 29
WTY-MVS77.47 3777.52 3277.30 9788.33 3046.25 26988.46 5390.32 1271.40 1072.32 6891.72 4753.44 2892.37 5266.28 11575.42 13193.28 12
ETH3D-3000-0.178.73 2078.71 2078.78 5585.58 6052.40 13988.42 5489.03 2660.01 15076.06 3292.80 2348.34 6192.88 3781.66 1686.48 3491.04 65
9.1478.19 2485.67 5788.32 5588.84 3459.89 15274.58 4392.62 2746.80 7992.66 4581.40 2185.62 42
MVS_111021_HR76.39 5575.38 5979.42 3885.33 7056.47 3688.15 5684.97 11765.15 7266.06 11989.88 9243.79 11892.16 5775.03 6080.03 9389.64 99
MS-PatchMatch72.34 11271.26 11275.61 13682.38 13955.55 5188.00 5789.95 1765.38 6556.51 25280.74 22232.28 25392.89 3657.95 18988.10 1578.39 288
HQP-NCC79.02 20388.00 5765.45 6164.48 142
ACMP_Plane79.02 20388.00 5765.45 6164.48 142
HQP-MVS72.34 11271.44 11075.03 14779.02 20351.56 16088.00 5783.68 14965.45 6164.48 14285.13 16537.35 19588.62 14566.70 11073.12 15084.91 196
canonicalmvs78.17 2877.86 2979.12 4484.30 8554.22 8987.71 6184.57 13067.70 3977.70 2592.11 3850.90 4689.95 11078.18 3977.54 11293.20 14
VPA-MVSNet71.12 12870.66 12072.49 20578.75 20944.43 28887.64 6290.02 1563.97 8665.02 13381.58 21342.14 14187.42 18863.42 13863.38 22185.63 186
test_885.72 5455.31 5887.60 6383.88 14657.84 20272.84 6090.99 5844.99 10288.34 157
Regformer-177.80 3377.44 3378.88 4887.78 3652.44 13887.60 6390.08 1468.86 2572.49 6691.79 4447.69 7194.90 2073.57 7277.05 11489.31 106
Regformer-277.15 4176.82 4078.14 7587.78 3651.84 15387.60 6389.12 2367.23 4271.93 7291.79 4446.03 8993.53 3172.85 7877.05 11489.05 115
TEST985.68 5555.42 5487.59 6684.00 14357.72 20472.99 5790.98 5944.87 10588.58 147
train_agg76.91 4576.40 4778.45 6685.68 5555.42 5487.59 6684.00 14357.84 20272.99 5790.98 5944.99 10288.58 14778.19 3785.32 4691.34 60
SMA-MVScopyleft79.10 1978.76 1980.12 2984.42 8355.87 4887.58 6886.76 7561.48 12980.26 1993.10 1846.53 8392.41 5179.97 2688.77 1192.08 37
Yufeng Yin; Xiaoyan Liu; Zichao Zhang: SMA-MVS: Segmentation-Guided Multi-Scale Anchor Deformation Patch Multi-View Stereo. IEEE Transactions on Circuits and Systems for Video Technology
agg_prior176.68 5276.24 5078.00 7985.64 5854.92 7287.55 6983.61 15257.99 19872.53 6491.05 5645.36 9888.10 16777.76 4384.68 5390.99 68
plane_prior49.57 20487.43 7064.57 7672.84 154
DROMVSNet75.30 7075.20 6075.62 13580.98 16849.00 21787.43 7084.68 12763.49 9770.97 8490.15 8642.86 13491.14 7974.33 6581.90 7286.71 165
TR-MVS69.71 15567.85 16275.27 14482.94 12448.48 23387.40 7280.86 19757.15 21764.61 14087.08 14332.67 24989.64 11946.38 26471.55 16687.68 145
CDPH-MVS76.05 6075.19 6178.62 6186.51 4754.98 7187.32 7384.59 12958.62 18770.75 8590.85 6543.10 13290.63 9370.50 8984.51 5590.24 83
3Dnovator+62.71 772.29 11470.50 12177.65 8983.40 10751.29 16987.32 7386.40 8259.01 17958.49 22088.32 12032.40 25191.27 7557.04 19882.15 7190.38 81
API-MVS74.17 8472.07 10280.49 2290.02 1158.55 987.30 7584.27 13657.51 21065.77 12587.77 13241.61 15095.97 1151.71 23282.63 6386.94 155
BH-RMVSNet70.08 14668.01 15676.27 12084.21 8951.22 17187.29 7679.33 22958.96 18263.63 15886.77 14733.29 24490.30 10344.63 27273.96 14287.30 152
MTMP87.27 7715.34 377
APD-MVScopyleft76.15 5875.68 5377.54 9188.52 2753.44 11087.26 7885.03 11653.79 25774.91 3791.68 4943.80 11790.31 10174.36 6481.82 7388.87 119
Yuesong Wang, Zhaojie Zeng and etc.: Adaptive Patch Deformation for Textureless-Resilient Multi-View Stereo. CVPR2023
EIA-MVS75.92 6275.18 6278.13 7685.14 7351.60 15987.17 7985.32 10464.69 7568.56 9590.53 7345.79 9491.58 6767.21 10782.18 7091.20 61
test_prior456.39 3887.15 80
casdiffmvs77.36 3876.85 3978.88 4880.40 18454.66 8387.06 8185.88 9172.11 871.57 7788.63 11850.89 4890.35 9976.00 5079.11 10191.63 47
cascas69.01 16766.13 19577.66 8779.36 19555.41 5686.99 8283.75 14856.69 22658.92 21081.35 21524.31 30892.10 6053.23 21870.61 17285.46 188
nrg03072.27 11671.56 10774.42 15875.93 25550.60 17786.97 8383.21 16062.75 10667.15 10784.38 17150.07 5286.66 20771.19 8562.37 23385.99 175
#test#74.86 7973.78 7978.10 7784.30 8553.68 9886.95 8484.36 13359.00 18065.78 12390.56 7040.70 15990.90 8571.48 8480.88 7989.71 96
114514_t69.87 15367.88 15975.85 13388.38 2952.35 14386.94 8583.68 14953.70 25855.68 25885.60 16130.07 27291.20 7655.84 20571.02 16983.99 208
CP-MVS72.59 10971.46 10976.00 13182.93 12552.32 14486.93 8682.48 17255.15 24463.65 15790.44 7935.03 22888.53 15168.69 9977.83 11087.15 153
ZNCC-MVS75.82 6675.02 6478.23 7383.88 9753.80 9686.91 8786.05 8959.71 15567.85 10290.55 7242.23 13991.02 8172.66 8085.29 4789.87 95
PAPM76.76 5076.07 5278.81 5180.20 18559.11 786.86 8886.23 8568.60 2670.18 8988.84 11251.57 3987.16 19265.48 12286.68 3190.15 87
Fast-Effi-MVS+72.73 10571.15 11677.48 9282.75 13154.76 7686.77 8980.64 20063.05 10265.93 12184.01 17544.42 11189.03 13056.45 20376.36 12488.64 125
ETH3D cwj APD-0.1678.36 2578.19 2478.86 5084.21 8952.68 13286.70 9089.02 2759.13 17675.37 3592.49 2849.06 6093.20 3380.67 2487.08 2490.71 73
thisisatest051573.64 9472.20 9777.97 8181.63 15053.01 12686.69 9188.81 3562.53 10964.06 14885.65 16052.15 3692.50 4858.43 17969.84 17888.39 131
SF-MVS77.64 3477.42 3478.32 7283.75 9952.47 13786.63 9287.80 5658.78 18474.63 4092.38 3047.75 6991.35 7378.18 3986.85 2791.15 62
BH-w/o70.02 14868.51 14974.56 15482.77 12950.39 18486.60 9378.14 25159.77 15459.65 19485.57 16239.27 17387.30 19049.86 24274.94 13885.99 175
mvs-test169.04 16567.57 16873.44 18875.17 26151.68 15886.57 9474.48 29662.15 11362.07 17485.79 15830.59 26887.48 18665.40 12765.94 20481.18 259
DeepC-MVS67.15 476.90 4776.27 4978.80 5280.70 17755.02 6986.39 9586.71 7666.96 4567.91 10189.97 9148.03 6591.41 7275.60 5484.14 5689.96 92
Andreas Kuhn, Christian Sormann, Mattia Rossi, Oliver Erdler, Friedrich Fraundorfer: DeepC-MVS: Deep Confidence Prediction for Multi-View Stereo Reconstruction. 3DV 2020
TransMVSNet (Re)62.82 24660.76 24869.02 26273.98 27741.61 31486.36 9679.30 23056.90 21952.53 27976.44 26541.85 14787.60 18438.83 28940.61 34277.86 294
MSLP-MVS++74.21 8372.25 9680.11 3081.45 16156.47 3686.32 9779.65 21858.19 19266.36 11592.29 3436.11 21590.66 9167.39 10582.49 6493.18 15
QAPM71.88 11969.33 14179.52 3682.20 14154.30 8886.30 9888.77 3656.61 22859.72 19387.48 13533.90 23895.36 1447.48 25781.49 7688.90 118
WR-MVS67.58 19466.76 18270.04 25475.92 25645.06 28486.23 9985.28 10764.31 7858.50 21981.00 21744.80 10982.00 27449.21 24755.57 29183.06 229
PVSNet_BlendedMVS73.42 9673.30 8173.76 17885.91 5251.83 15486.18 10084.24 13965.40 6469.09 9280.86 22046.70 8188.13 16575.43 5565.92 20581.33 255
ETV-MVS77.17 4076.74 4178.48 6481.80 14654.55 8586.13 10185.33 10368.20 3073.10 5690.52 7545.23 10090.66 9179.37 2880.95 7890.22 84
AdaColmapbinary67.86 18965.48 20975.00 14888.15 3354.99 7086.10 10276.63 28049.30 28657.80 22986.65 15029.39 27588.94 13945.10 27070.21 17681.06 260
OPM-MVS70.75 13769.58 13674.26 16475.55 26051.34 16786.05 10383.29 15961.94 11962.95 16585.77 15934.15 23488.44 15365.44 12671.07 16882.99 230
Ray L. Khuboni, Hongjun Xu: Octagram Propagation Matching for Multi-Scale View Stereopsis (OPM-MVS).
Vis-MVSNetpermissive70.61 13969.34 14074.42 15880.95 17348.49 23286.03 10477.51 26258.74 18565.55 12787.78 13134.37 23285.95 23152.53 23080.61 8388.80 121
Jingyang Zhang, Yao Yao, Shiwei Li, Zixin Luo, Tian Fang: Visibility-aware Multiview Stereo Network. BMVC 2020
Anonymous2023121166.08 22563.67 22973.31 19083.07 11848.75 22586.01 10584.67 12845.27 31356.54 25076.67 26328.06 28288.95 13752.78 22559.95 24282.23 237
EG-PatchMatch MVS62.40 25359.59 25570.81 24173.29 28249.05 21585.81 10684.78 12351.85 27344.19 31773.48 29215.52 34889.85 11140.16 28667.24 19473.54 329
PVSNet_Blended_VisFu73.40 9772.44 9176.30 11981.32 16554.70 8085.81 10678.82 23663.70 9164.53 14185.38 16447.11 7787.38 18967.75 10477.55 11186.81 163
HQP_MVS70.96 13369.91 13374.12 16777.95 22549.57 20485.76 10882.59 17063.60 9462.15 17283.28 18836.04 21888.30 16065.46 12372.34 15984.49 199
plane_prior285.76 10863.60 94
GST-MVS74.87 7873.90 7777.77 8483.30 10953.45 10985.75 11085.29 10659.22 16966.50 11489.85 9340.94 15590.76 8870.94 8783.35 6089.10 114
SD-MVS76.18 5774.85 6780.18 2785.39 6756.90 2785.75 11082.45 17356.79 22474.48 4491.81 4343.72 12190.75 8974.61 6378.65 10492.91 19
Zhenlong Yuan, Jiakai Cao, Zhaoxin Li, Hao Jiang and Zhaoqi Wang: SD-MVS: Segmentation-driven Deformation Multi-View Stereo with Spherical Refinement and EM optimization. AAAI2024
CHOSEN 1792x268876.24 5674.03 7682.88 183.09 11662.84 285.73 11285.39 10069.79 2064.87 13683.49 18441.52 15293.69 3070.55 8881.82 7392.12 36
FMVSNet368.84 16967.40 17273.19 19285.05 7448.53 23085.71 11385.36 10160.90 13957.58 23579.15 23342.16 14086.77 20347.25 25963.40 21884.27 203
MP-MVScopyleft74.99 7774.33 7376.95 10982.89 12653.05 12585.63 11483.50 15457.86 20167.25 10690.24 8143.38 12788.85 14176.03 4982.23 6888.96 117
Rongxuan Tan, Qing Wang, et al.: MP-MVS: Multi-Scale Windows PatchMatch and Planar Prior Multi-View Stereo.
HFP-MVS74.37 8173.13 8478.10 7784.30 8553.68 9885.58 11584.36 13356.82 22265.78 12390.56 7040.70 15990.90 8569.18 9680.88 7989.71 96
ACMMPR73.76 9172.61 8777.24 10283.92 9552.96 12885.58 11584.29 13556.82 22265.12 13090.45 7637.24 19990.18 10669.18 9680.84 8188.58 127
BH-untuned68.28 18266.40 18773.91 17281.62 15150.01 19785.56 11777.39 26457.63 20757.47 24083.69 18236.36 21387.08 19444.81 27173.08 15384.65 198
region2R73.75 9272.55 8977.33 9683.90 9652.98 12785.54 11884.09 14156.83 22165.10 13190.45 7637.34 19790.24 10468.89 9880.83 8288.77 123
xiu_mvs_v1_base_debu71.60 12370.29 12675.55 13777.26 23653.15 12085.34 11979.37 22355.83 23672.54 6190.19 8322.38 31886.66 20773.28 7576.39 12186.85 159
xiu_mvs_v1_base71.60 12370.29 12675.55 13777.26 23653.15 12085.34 11979.37 22355.83 23672.54 6190.19 8322.38 31886.66 20773.28 7576.39 12186.85 159
xiu_mvs_v1_base_debi71.60 12370.29 12675.55 13777.26 23653.15 12085.34 11979.37 22355.83 23672.54 6190.19 8322.38 31886.66 20773.28 7576.39 12186.85 159
NR-MVSNet67.25 20465.99 19871.04 23873.27 28343.91 29385.32 12284.75 12566.05 5853.65 27482.11 20745.05 10185.97 23047.55 25656.18 28283.24 224
Effi-MVS+75.24 7173.61 8080.16 2881.92 14457.42 2185.21 12376.71 27860.68 14373.32 5589.34 10247.30 7491.63 6668.28 10179.72 9691.42 55
无先验85.19 12478.00 25449.08 28785.13 24652.78 22587.45 149
FMVSNet267.57 19565.79 20272.90 19682.71 13247.97 24785.15 12584.93 11858.55 18856.71 24878.26 24036.72 20986.67 20646.15 26662.94 22984.07 205
test-LLR69.65 15869.01 14571.60 22778.67 21148.17 24085.13 12679.72 21559.18 17263.13 16282.58 19936.91 20480.24 28860.56 16175.17 13386.39 171
TESTMET0.1,172.86 10372.33 9374.46 15681.98 14350.77 17385.13 12685.47 9666.09 5567.30 10483.69 18237.27 19883.57 26365.06 13078.97 10389.05 115
test-mter68.36 17967.29 17371.60 22778.67 21148.17 24085.13 12679.72 21553.38 26063.13 16282.58 19927.23 28980.24 28860.56 16175.17 13386.39 171
Regformer-376.02 6175.47 5777.70 8685.49 6351.47 16385.12 12990.19 1368.52 2769.36 9090.66 6846.45 8494.81 2170.25 9173.16 14886.81 163
Regformer-475.06 7674.59 7176.47 11785.49 6350.33 18885.12 12988.61 4266.42 4868.48 9690.66 6844.15 11392.68 4469.24 9573.16 14886.39 171
1112_ss70.05 14769.37 13972.10 21280.77 17642.78 30485.12 12976.75 27659.69 15661.19 18192.12 3647.48 7383.84 25853.04 22168.21 18789.66 98
XXY-MVS70.18 14369.28 14372.89 19877.64 22942.88 30385.06 13287.50 6562.58 10862.66 16982.34 20443.64 12389.83 11258.42 18163.70 21785.96 177
MSP-MVS82.30 683.47 178.80 5282.99 12252.71 13185.04 13388.63 4066.08 5686.77 392.75 2472.05 191.46 7183.35 793.53 192.23 33
Zhenlong Yuan, Cong Liu, Fei Shen, Zhaoxin Li, Jingguo luo, Tianlu Mao and Zhaoqi Wang: MSP-MVS: Multi-granularity Segmentation Prior Guided Multi-View Stereo. AAAI2025
thres20068.71 17567.27 17573.02 19384.73 7946.76 26085.03 13487.73 6062.34 11259.87 19083.45 18543.15 12988.32 15931.25 32567.91 19183.98 210
MVP-Stereo70.97 13270.44 12272.59 20276.03 25451.36 16685.02 13586.99 7060.31 14756.53 25178.92 23540.11 16690.00 10860.00 17090.01 676.41 310
Qingsong Yan: MVP-Stereo: A Parallel Multi-View Patchmatch Stereo Method with Dilation Matching for Photogrammetric Application.
DVP-MVS++82.44 382.38 582.62 591.77 457.49 1784.98 13688.88 3158.00 19683.60 693.39 1367.21 296.39 481.64 1791.98 493.98 5
FOURS183.24 11149.90 20084.98 13678.76 23847.71 29373.42 53
PS-MVSNAJss68.78 17467.17 17673.62 18573.01 28548.33 23884.95 13884.81 12259.30 16858.91 21179.84 22637.77 18488.86 14062.83 14163.12 22783.67 217
v2v48269.55 16167.64 16575.26 14572.32 29553.83 9584.93 13981.94 17865.37 6660.80 18479.25 23141.62 14988.98 13663.03 14059.51 24682.98 231
XVS72.92 10171.62 10676.81 11183.41 10452.48 13584.88 14083.20 16158.03 19463.91 15289.63 9735.50 22289.78 11365.50 12080.50 8588.16 132
X-MVStestdata65.85 22762.20 23676.81 11183.41 10452.48 13584.88 14083.20 16158.03 19463.91 1524.82 37335.50 22289.78 11365.50 12080.50 8588.16 132
test111171.06 13070.42 12372.97 19579.48 19441.49 31584.82 14282.74 16964.20 8062.98 16487.43 13735.20 22587.92 17258.54 17878.42 10789.49 102
Fast-Effi-MVS+-dtu66.53 21864.10 22773.84 17572.41 29352.30 14584.73 14375.66 28759.51 15956.34 25379.11 23428.11 28185.85 23357.74 19363.29 22283.35 220
ECVR-MVScopyleft71.81 12071.00 11774.26 16480.12 18743.49 29784.69 14482.16 17464.02 8264.64 13887.43 13735.04 22789.21 12561.24 15379.66 9790.08 89
h-mvs3373.95 8772.89 8677.15 10380.17 18650.37 18584.68 14583.33 15568.08 3171.97 7088.65 11742.50 13591.15 7878.82 3157.78 27089.91 94
v114468.81 17166.82 17974.80 15272.34 29453.46 10684.68 14581.77 18464.25 7960.28 18977.91 24240.23 16388.95 13760.37 16659.52 24581.97 239
CANet_DTU73.71 9373.14 8275.40 14082.61 13650.05 19684.67 14779.36 22669.72 2175.39 3490.03 9029.41 27485.93 23267.99 10379.11 10190.22 84
PVSNet62.49 869.27 16367.81 16373.64 18384.41 8451.85 15284.63 14877.80 25666.42 4859.80 19284.95 16822.14 32280.44 28655.03 20875.11 13588.62 126
mPP-MVS71.79 12270.38 12476.04 12982.65 13552.06 14684.45 14981.78 18355.59 23962.05 17589.68 9633.48 24288.28 16265.45 12578.24 10987.77 143
CL-MVSNet_self_test62.98 24461.14 24568.50 27365.86 33442.96 30184.37 15082.98 16560.98 13753.95 27072.70 29940.43 16183.71 26141.10 28447.93 32078.83 280
OpenMVScopyleft61.00 1169.99 15067.55 16977.30 9778.37 22154.07 9484.36 15185.76 9357.22 21556.71 24887.67 13330.79 26792.83 3843.04 27884.06 5885.01 194
MP-MVS-pluss75.54 6875.03 6377.04 10481.37 16352.65 13484.34 15284.46 13161.16 13269.14 9191.76 4639.98 16888.99 13578.19 3784.89 5189.48 104
MP-MVS-pluss: MP-MVS-pluss. MP-MVS-pluss
PAPR75.20 7374.13 7478.41 6788.31 3155.10 6784.31 15385.66 9463.76 9067.55 10390.73 6743.48 12689.40 12266.36 11477.03 11690.73 72
SR-MVS70.92 13469.73 13574.50 15583.38 10850.48 18184.27 15479.35 22748.96 28966.57 11390.45 7633.65 24187.11 19366.42 11274.56 13985.91 178
v14868.24 18466.35 18873.88 17371.76 29851.47 16384.23 15581.90 18263.69 9258.94 20876.44 26543.72 12187.78 17960.63 15955.86 28782.39 236
UniMVSNet_NR-MVSNet68.82 17068.29 15370.40 24775.71 25842.59 30684.23 15586.78 7466.31 5058.51 21782.45 20151.57 3984.64 25453.11 21955.96 28583.96 212
GeoE69.96 15167.88 15976.22 12281.11 16751.71 15784.15 15776.74 27759.83 15360.91 18284.38 17141.56 15188.10 16751.67 23370.57 17388.84 120
v14419267.86 18965.76 20374.16 16671.68 29953.09 12384.14 15880.83 19862.85 10559.21 20477.28 25239.30 17288.00 17158.67 17757.88 26881.40 252
UGNet68.71 17567.11 17773.50 18780.55 18247.61 24984.08 15978.51 24559.45 16065.68 12682.73 19723.78 31085.08 24852.80 22476.40 12087.80 142
Wanjuan Su, Qingshan Xu, Wenbing Tao: Uncertainty-guided Multi-view Stereo Network for Depth Estimation. IEEE Transactions on Circuits and Systems for Video Technology, 2022
PMMVS72.98 10072.05 10375.78 13483.57 10048.60 22784.08 15982.85 16861.62 12468.24 9990.33 8028.35 27887.78 17972.71 7976.69 11990.95 69
ACMMP_NAP76.43 5475.66 5478.73 5681.92 14454.67 8284.06 16185.35 10261.10 13472.99 5791.50 5240.25 16291.00 8276.84 4786.98 2590.51 79
v119267.96 18865.74 20474.63 15371.79 29753.43 11284.06 16180.99 19663.19 10159.56 19777.46 24937.50 19488.65 14458.20 18458.93 25281.79 242
zzz-MVS74.15 8573.11 8577.27 9981.54 15653.57 10284.02 16381.31 19059.41 16268.39 9790.96 6136.07 21689.01 13173.80 7082.45 6589.23 108
FIs70.00 14970.24 12969.30 26077.93 22738.55 32883.99 16487.72 6166.86 4657.66 23384.17 17452.28 3485.31 23952.72 22968.80 18484.02 206
MVS_Test75.85 6374.93 6678.62 6184.08 9155.20 6383.99 16485.17 11168.07 3373.38 5482.76 19450.44 5089.00 13365.90 11880.61 8391.64 46
baseline76.86 4876.24 5078.71 5780.47 18354.20 9283.90 16684.88 12071.38 1171.51 7889.15 10750.51 4990.55 9575.71 5278.65 10491.39 56
baseline275.15 7474.54 7276.98 10881.67 14951.74 15683.84 16791.94 169.97 1958.98 20786.02 15559.73 791.73 6568.37 10070.40 17587.48 147
EPP-MVSNet71.14 12770.07 13174.33 16179.18 20046.52 26383.81 16886.49 7956.32 23357.95 22684.90 16954.23 2589.14 12658.14 18569.65 18087.33 150
原ACMM283.77 169
v192192067.45 19865.23 21674.10 16871.51 30252.90 12983.75 17080.44 20362.48 11159.12 20677.13 25336.98 20287.90 17357.53 19458.14 26281.49 247
OpenMVS_ROBcopyleft53.19 1759.20 26856.00 27968.83 26571.13 30744.30 28983.64 17175.02 29346.42 30546.48 31373.03 29518.69 33588.14 16427.74 33861.80 23574.05 325
MVSTER73.25 9872.33 9376.01 13085.54 6253.76 9783.52 17287.16 6767.06 4463.88 15481.66 21252.77 3190.44 9664.66 13264.69 21083.84 215
GBi-Net67.09 20865.47 21071.96 21882.71 13246.36 26583.52 17283.31 15658.55 18857.58 23576.23 26936.72 20986.20 21647.25 25963.40 21883.32 221
test167.09 20865.47 21071.96 21882.71 13246.36 26583.52 17283.31 15658.55 18857.58 23576.23 26936.72 20986.20 21647.25 25963.40 21883.32 221
FMVSNet164.57 23262.11 23771.96 21877.32 23446.36 26583.52 17283.31 15652.43 26854.42 26576.23 26927.80 28586.20 21642.59 28261.34 23883.32 221
baseline172.51 11072.12 10173.69 18185.05 7444.46 28683.51 17686.13 8871.61 964.64 13887.97 12855.00 2289.48 12159.07 17356.05 28487.13 154
CDS-MVSNet70.48 14169.43 13773.64 18377.56 23148.83 22483.51 17677.45 26363.27 9962.33 17185.54 16343.85 11583.29 26757.38 19774.00 14188.79 122
Khang Truong Giang, Soohwan Song, Sungho Jo: Curvature-guided dynamic scale networks for Multi-view Stereo. ICLR 2022
thisisatest053070.47 14268.56 14876.20 12479.78 19151.52 16283.49 17888.58 4557.62 20858.60 21682.79 19351.03 4591.48 7052.84 22362.36 23485.59 187
Test_1112_low_res67.18 20666.23 19270.02 25578.75 20941.02 31983.43 17973.69 30457.29 21458.45 22282.39 20345.30 9980.88 28150.50 23866.26 20388.16 132
ACMMPcopyleft70.81 13669.29 14275.39 14181.52 16051.92 15183.43 17983.03 16456.67 22758.80 21488.91 11031.92 25888.58 14765.89 11973.39 14785.67 183
Qingshan Xu, Weihang Kong, Wenbing Tao, Marc Pollefeys: Multi-Scale Geometric Consistency Guided and Planar Prior Assisted Multi-View Stereo. IEEE Transactions on Pattern Analysis and Machine Intelligence
tfpn200view967.57 19566.13 19571.89 22584.05 9245.07 28183.40 18187.71 6260.79 14057.79 23082.76 19443.53 12487.80 17628.80 33166.36 20082.78 234
thres40067.40 20266.13 19571.19 23584.05 9245.07 28183.40 18187.71 6260.79 14057.79 23082.76 19443.53 12487.80 17628.80 33166.36 20080.71 265
v124066.99 21164.68 22173.93 17171.38 30552.66 13383.39 18379.98 20961.97 11858.44 22377.11 25435.25 22487.81 17556.46 20258.15 26081.33 255
Baseline_NR-MVSNet65.49 23064.27 22569.13 26174.37 27441.65 31383.39 18378.85 23459.56 15859.62 19676.88 26040.75 15687.44 18749.99 24055.05 29278.28 290
miper_enhance_ethall69.77 15468.90 14672.38 20878.93 20649.91 19983.29 18578.85 23464.90 7359.37 20079.46 22852.77 3185.16 24563.78 13558.72 25382.08 238
diffmvs75.11 7574.65 7076.46 11878.52 21753.35 11483.28 18679.94 21070.51 1571.64 7688.72 11346.02 9086.08 22677.52 4475.75 12989.96 92
test250672.91 10272.43 9274.32 16280.12 18744.18 29283.19 18784.77 12464.02 8265.97 12087.43 13747.67 7288.72 14259.08 17279.66 9790.08 89
ACMP61.11 966.24 22364.33 22472.00 21774.89 26849.12 21383.18 18879.83 21355.41 24252.29 28182.68 19825.83 29786.10 22260.89 15663.94 21580.78 263
Qingshan Xu and Wenbing Tao: Planar Prior Assisted PatchMatch Multi-View Stereo. AAAI 2020
GA-MVS69.04 16566.70 18476.06 12875.11 26352.36 14283.12 18980.23 20663.32 9860.65 18679.22 23230.98 26688.37 15561.25 15266.41 19987.46 148
3Dnovator64.70 674.46 8072.48 9080.41 2382.84 12855.40 5783.08 19088.61 4267.61 4059.85 19188.66 11434.57 23193.97 2658.42 18188.70 1291.85 44
PGM-MVS72.60 10771.20 11476.80 11382.95 12352.82 13083.07 19182.14 17556.51 23063.18 16189.81 9435.68 22189.76 11567.30 10680.19 8987.83 141
LPG-MVS_test66.44 22064.58 22272.02 21574.42 27248.60 22783.07 19180.64 20054.69 25153.75 27283.83 17825.73 29986.98 19660.33 16764.71 20880.48 267
TranMVSNet+NR-MVSNet66.94 21365.61 20770.93 24073.45 28043.38 29983.02 19384.25 13765.31 6958.33 22481.90 21039.92 16985.52 23549.43 24554.89 29483.89 214
test0.0.03 162.54 24862.44 23462.86 31072.28 29629.51 35582.93 19478.78 23759.18 17253.07 27782.41 20236.91 20477.39 31537.45 29258.96 25181.66 245
pm-mvs164.12 23562.56 23368.78 26771.68 29938.87 32782.89 19581.57 18555.54 24153.89 27177.82 24437.73 18786.74 20448.46 25253.49 30480.72 264
DWT-MVSNet_test75.47 6973.87 7880.29 2487.33 4157.05 2582.86 19687.96 5372.59 667.29 10587.79 13051.61 3891.52 6954.75 21272.63 15692.29 32
EPNet_dtu66.25 22266.71 18364.87 30078.66 21334.12 34182.80 19775.51 28861.75 12264.47 14586.90 14537.06 20172.46 33943.65 27669.63 18188.02 138
Wanjuan Su, Wenbing Tao: Efficient Edge-Preserving Multi-View Stereo Network for Depth Estimation. AAAI 2023
test117269.64 15968.38 15273.41 18982.77 12948.84 22382.79 19878.34 24947.02 30065.27 12990.07 8831.17 26486.09 22464.51 13373.49 14685.31 190
pmmvs562.80 24761.18 24467.66 27769.53 31642.37 31182.65 19975.19 29254.30 25652.03 28478.51 23931.64 26180.67 28248.60 25058.15 26079.95 274
cl____67.43 19965.93 19971.95 22176.33 24748.02 24582.58 20079.12 23161.30 13156.72 24776.92 25846.12 8686.44 21457.98 18756.31 27981.38 254
DIV-MVS_self_test67.43 19965.93 19971.94 22276.33 24748.01 24682.57 20179.11 23261.31 13056.73 24676.92 25846.09 8786.43 21557.98 18756.31 27981.39 253
TAMVS69.51 16268.16 15573.56 18676.30 24948.71 22682.57 20177.17 26862.10 11561.32 17984.23 17341.90 14683.46 26554.80 21173.09 15288.50 130
EI-MVSNet-Vis-set73.19 9972.60 8874.99 14982.56 13749.80 20282.55 20389.00 2866.17 5365.89 12288.98 10843.83 11692.29 5365.38 12969.01 18382.87 233
DP-MVS59.24 26756.12 27868.63 27088.24 3250.35 18782.51 20464.43 34141.10 33346.70 31178.77 23624.75 30788.57 15022.26 35056.29 28166.96 348
miper_ehance_all_eth68.70 17767.58 16672.08 21376.91 24249.48 20982.47 20578.45 24762.68 10758.28 22577.88 24350.90 4685.01 24961.91 14858.72 25381.75 243
cl2268.85 16867.69 16472.35 20978.07 22449.98 19882.45 20678.48 24662.50 11058.46 22177.95 24149.99 5385.17 24462.55 14258.72 25381.90 240
UniMVSNet (Re)67.71 19266.80 18070.45 24574.44 27142.93 30282.42 20784.90 11963.69 9259.63 19580.99 21847.18 7585.23 24351.17 23656.75 27683.19 226
v867.25 20464.99 21974.04 16972.89 28853.31 11782.37 20880.11 20861.54 12754.29 26776.02 27442.89 13388.41 15458.43 17956.36 27780.39 269
RRT_MVS65.43 23164.01 22869.68 25781.54 15650.15 19382.31 20976.78 27555.25 24360.64 18782.00 20925.18 30379.00 29860.96 15551.45 31279.89 275
ACMM58.35 1264.35 23462.01 23871.38 23174.21 27548.51 23182.25 21079.66 21747.61 29454.54 26480.11 22425.26 30286.00 22751.26 23463.16 22579.64 277
Qingshan Xu and Wenbing Tao: Multi-Scale Geometric Consistency Guided Multi-View Stereo. CVPR 2019
thres600view766.46 21965.12 21770.47 24483.41 10443.80 29582.15 21187.78 5759.37 16456.02 25582.21 20543.73 11986.90 20126.51 34264.94 20780.71 265
c3_l67.97 18766.66 18571.91 22476.20 25149.31 21182.13 21278.00 25461.99 11757.64 23476.94 25749.41 5784.93 25060.62 16057.01 27481.49 247
Effi-MVS+-dtu66.24 22364.96 22070.08 25275.17 26149.64 20382.01 21374.48 29662.15 11357.83 22876.08 27330.59 26883.79 25965.40 12760.93 24076.81 303
our_test_359.11 27055.08 28671.18 23671.42 30353.29 11881.96 21474.52 29548.32 29042.08 32669.28 32228.14 28082.15 27134.35 31245.68 33278.11 293
CPTT-MVS67.15 20765.84 20171.07 23780.96 17050.32 18981.94 21574.10 29946.18 30857.91 22787.64 13429.57 27381.31 27764.10 13470.18 17781.56 246
APD-MVS_3200maxsize69.62 16068.23 15473.80 17781.58 15448.22 23981.91 21679.50 22148.21 29164.24 14789.75 9531.91 25987.55 18563.08 13973.85 14485.64 185
v1066.61 21764.20 22673.83 17672.59 29153.37 11381.88 21779.91 21261.11 13354.09 26975.60 27640.06 16788.26 16356.47 20156.10 28379.86 276
EI-MVSNet-UG-set72.37 11171.73 10574.29 16381.60 15249.29 21281.85 21888.64 3965.29 7065.05 13288.29 12143.18 12891.83 6363.74 13667.97 19081.75 243
ppachtmachnet_test58.56 27854.34 28771.24 23371.42 30354.74 7781.84 21972.27 31549.02 28845.86 31668.99 32326.27 29483.30 26630.12 32743.23 33775.69 313
test_040256.45 29053.03 29466.69 28776.78 24350.31 19081.76 22069.61 33142.79 32943.88 31872.13 30622.82 31686.46 21316.57 36150.94 31363.31 354
旧先验281.73 22145.53 31174.66 3970.48 34658.31 183
thres100view90066.87 21465.42 21371.24 23383.29 11043.15 30081.67 22287.78 5759.04 17855.92 25682.18 20643.73 11987.80 17628.80 33166.36 20082.78 234
MVSFormer73.53 9572.19 9877.57 9083.02 12055.24 6081.63 22381.44 18850.28 28076.67 2990.91 6344.82 10786.11 22060.83 15780.09 9091.36 58
test_djsdf63.84 23761.56 24170.70 24268.78 32044.69 28581.63 22381.44 18850.28 28052.27 28276.26 26826.72 29286.11 22060.83 15755.84 28881.29 258
新几何281.61 225
TSAR-MVS + MP.78.31 2778.26 2278.48 6481.33 16456.31 4181.59 22686.41 8169.61 2281.72 1488.16 12455.09 2188.04 17074.12 6786.31 3591.09 64
Zhenlong Yuan, Jiakai Cao, Zhaoqi Wang, Zhaoxin Li: TSAR-MVS: Textureless-aware Segmentation and Correlative Refinement Guided Multi-View Stereo. Pattern Recognition
SR-MVS-dyc-post68.27 18366.87 17872.48 20680.96 17048.14 24281.54 22776.98 27146.42 30562.75 16789.42 10031.17 26486.09 22460.52 16372.06 16283.19 226
RE-MVS-def66.66 18580.96 17048.14 24281.54 22776.98 27146.42 30562.75 16789.42 10029.28 27660.52 16372.06 16283.19 226
V4267.66 19365.60 20873.86 17470.69 31053.63 10181.50 22978.61 24363.85 8859.49 19977.49 24837.98 18187.65 18262.33 14358.43 25780.29 270
DU-MVS66.84 21565.74 20470.16 25073.27 28342.59 30681.50 22982.92 16763.53 9658.51 21782.11 20740.75 15684.64 25453.11 21955.96 28583.24 224
HyFIR lowres test69.94 15267.58 16677.04 10477.11 24157.29 2281.49 23179.11 23258.27 19158.86 21280.41 22342.33 13786.96 19861.91 14868.68 18686.87 157
IterMVS-LS66.63 21665.36 21470.42 24675.10 26448.90 22181.45 23276.69 27961.05 13555.71 25777.10 25545.86 9383.65 26257.44 19557.88 26878.70 281
Fangjinhua Wang, Silvano Galliani, Christoph Vogel, Marc Pollefeys: IterMVS: Iterative Probability Estimation for Efficient Multi-View Stereo.
bset_n11_16_dypcd65.51 22963.21 23172.41 20768.84 31950.15 19381.25 23372.40 31459.17 17459.20 20578.66 23725.69 30185.27 24166.80 10956.88 27581.80 241
jajsoiax63.21 24260.84 24770.32 24868.33 32544.45 28781.23 23481.05 19553.37 26150.96 29177.81 24517.49 34085.49 23759.31 17158.05 26381.02 261
HPM-MVS_fast67.86 18966.28 19172.61 20180.67 17948.34 23781.18 23575.95 28650.81 27959.55 19888.05 12727.86 28485.98 22858.83 17573.58 14583.51 218
tfpnnormal61.47 25759.09 26068.62 27176.29 25041.69 31281.14 23685.16 11254.48 25451.32 28773.63 29032.32 25286.89 20221.78 35255.71 28977.29 300
IS-MVSNet68.80 17267.55 16972.54 20378.50 21843.43 29881.03 23779.35 22759.12 17757.27 24386.71 14846.05 8887.70 18144.32 27375.60 13086.49 168
eth_miper_zixun_eth66.98 21265.28 21572.06 21475.61 25950.40 18381.00 23876.97 27462.00 11656.99 24576.97 25644.84 10685.58 23458.75 17654.42 29780.21 271
mvs_tets62.96 24560.55 24970.19 24968.22 32844.24 29180.90 23980.74 19952.99 26450.82 29377.56 24616.74 34385.44 23859.04 17457.94 26580.89 262
tttt051768.33 18166.29 19074.46 15678.08 22349.06 21480.88 24089.08 2554.40 25554.75 26280.77 22151.31 4290.33 10049.35 24658.01 26483.99 208
FC-MVSNet-test67.49 19767.91 15766.21 29076.06 25233.06 34680.82 24187.18 6664.44 7754.81 26082.87 19150.40 5182.60 26948.05 25466.55 19882.98 231
sss70.49 14070.13 13071.58 22981.59 15339.02 32680.78 24284.71 12659.34 16566.61 11188.09 12537.17 20085.52 23561.82 15071.02 16990.20 86
HPM-MVScopyleft72.60 10771.50 10875.89 13282.02 14251.42 16580.70 24383.05 16356.12 23464.03 14989.53 9837.55 19188.37 15570.48 9080.04 9287.88 139
Chunlin Ren, Qingshan Xu, Shikun Zhang, Jiaqi Yang: Hierarchical Prior Mining for Non-local Multi-View Stereo. ICCV 2023
pmmvs659.64 26457.15 27067.09 28166.01 33236.86 33580.50 24478.64 24145.05 31549.05 29873.94 28527.28 28886.10 22243.96 27549.94 31578.31 289
IterMVS63.77 23961.67 23970.08 25272.68 29051.24 17080.44 24575.51 28860.51 14551.41 28673.70 28932.08 25578.91 29954.30 21454.35 29880.08 273
Fangjinhua Wang, Silvano Galliani, Christoph Vogel, Marc Pollefeys: IterMVS: Iterative Probability Estimation for Efficient Multi-View Stereo.
IterMVS-SCA-FT59.12 26958.81 26360.08 32370.68 31145.07 28180.42 24674.25 29843.54 32650.02 29473.73 28631.97 25656.74 35851.06 23753.60 30378.42 287
ACMH+54.58 1558.55 27955.24 28268.50 27374.68 27045.80 27580.27 24770.21 32947.15 29842.77 32575.48 27716.73 34485.98 22835.10 31054.78 29573.72 327
Anonymous2023120659.08 27157.59 26763.55 30568.77 32132.14 35180.26 24879.78 21450.00 28349.39 29672.39 30326.64 29378.36 30233.12 31857.94 26580.14 272
131471.11 12969.41 13876.22 12279.32 19750.49 18080.23 24985.14 11459.44 16158.93 20988.89 11133.83 24089.60 12061.49 15177.42 11388.57 128
112168.79 17366.77 18174.82 15183.08 11753.46 10680.23 24971.53 32245.47 31266.31 11687.19 14134.02 23585.13 24652.78 22580.36 8785.87 180
MVS76.91 4575.48 5681.23 1984.56 8155.21 6280.23 24991.64 258.65 18665.37 12891.48 5345.72 9595.05 1772.11 8389.52 1093.44 9
ACMH53.70 1659.78 26355.94 28071.28 23276.59 24448.35 23680.15 25276.11 28449.74 28441.91 32873.45 29316.50 34590.31 10131.42 32357.63 27175.17 318
Qingshan Xu and Wenbing Tao: Multi-Scale Geometric Consistency Guided Multi-View Stereo. CVPR 2019
pmmvs463.34 24161.07 24670.16 25070.14 31250.53 17979.97 25371.41 32455.08 24554.12 26878.58 23832.79 24882.09 27350.33 23957.22 27377.86 294
abl_668.03 18666.15 19473.66 18278.54 21648.48 23379.77 25478.04 25247.39 29663.70 15688.25 12228.21 27989.06 12760.17 16971.25 16783.45 219
MVS_111021_LR69.07 16467.91 15772.54 20377.27 23549.56 20679.77 25473.96 30259.33 16760.73 18587.82 12930.19 27181.53 27569.94 9272.19 16186.53 167
CNLPA60.59 26158.44 26467.05 28379.21 19947.26 25579.75 25664.34 34242.46 33151.90 28583.94 17627.79 28675.41 32437.12 29459.49 24778.47 285
EI-MVSNet69.70 15768.70 14772.68 20075.00 26648.90 22179.54 25787.16 6761.05 13563.88 15483.74 18045.87 9290.44 9657.42 19664.68 21178.70 281
CVMVSNet60.85 26060.44 25162.07 31175.00 26632.73 34879.54 25773.49 30736.98 34356.28 25483.74 18029.28 27669.53 34846.48 26363.23 22383.94 213
AUN-MVS68.20 18566.35 18873.76 17876.37 24547.45 25179.52 25979.52 22060.98 13762.34 17086.02 15536.59 21286.94 19962.32 14453.47 30586.89 156
hse-mvs271.44 12670.68 11973.73 18076.34 24647.44 25279.45 26079.47 22268.08 3171.97 7086.01 15742.50 13586.93 20078.82 3153.46 30686.83 162
PVSNet_057.04 1361.19 25857.24 26973.02 19377.45 23350.31 19079.43 26177.36 26663.96 8747.51 30872.45 30225.03 30583.78 26052.76 22819.22 36584.96 195
PCF-MVS61.03 1070.10 14568.40 15175.22 14677.15 24051.99 14879.30 26282.12 17656.47 23161.88 17686.48 15343.98 11487.24 19155.37 20772.79 15586.43 170
Andreas Kuhn, Shan Lin, Oliver Erdler: Plane Completion and Filtering for Multi-View Stereo Reconstruction. GCPR 2019
PLCcopyleft52.38 1860.89 25958.97 26266.68 28881.77 14745.70 27678.96 26374.04 30143.66 32547.63 30583.19 19023.52 31377.78 31437.47 29160.46 24176.55 309
Jie Liao, Yanping Fu, Qingan Yan, Chunxia xiao: Pyramid Multi-View Stereo with Local Consistency. Pacific Graphics 2019
D2MVS63.49 24061.39 24369.77 25669.29 31748.93 22078.89 26477.71 25960.64 14449.70 29572.10 30827.08 29083.48 26454.48 21362.65 23076.90 302
OMC-MVS65.97 22665.06 21868.71 26972.97 28642.58 30878.61 26575.35 29154.72 25059.31 20286.25 15433.30 24377.88 31157.99 18667.05 19585.66 184
PAPM_NR71.80 12169.98 13277.26 10181.54 15653.34 11578.60 26685.25 10953.46 25960.53 18888.66 11445.69 9689.24 12456.49 20079.62 9989.19 111
mvs_anonymous72.29 11470.74 11876.94 11082.85 12754.72 7978.43 26781.54 18663.77 8961.69 17779.32 23051.11 4385.31 23962.15 14775.79 12790.79 71
test22279.36 19550.97 17277.99 26867.84 33442.54 33062.84 16686.53 15130.26 27076.91 11885.23 191
v7n62.50 25059.27 25972.20 21167.25 33149.83 20177.87 26980.12 20752.50 26748.80 29973.07 29432.10 25487.90 17346.83 26254.92 29378.86 279
test20.0355.22 29754.07 29058.68 32763.14 34825.00 36277.69 27074.78 29452.64 26543.43 32172.39 30326.21 29574.76 32629.31 32947.05 32776.28 311
testdata177.55 27164.14 81
PEN-MVS58.35 28157.15 27061.94 31367.55 33034.39 34077.01 27278.35 24851.87 27247.72 30476.73 26233.91 23773.75 33234.03 31347.17 32577.68 296
WR-MVS_H58.91 27458.04 26561.54 31669.07 31833.83 34376.91 27381.99 17751.40 27648.17 30074.67 28140.23 16374.15 32831.78 32248.10 31876.64 307
CP-MVSNet58.54 28057.57 26861.46 31768.50 32333.96 34276.90 27478.60 24451.67 27547.83 30376.60 26434.99 22972.79 33735.45 30347.58 32177.64 298
PS-CasMVS58.12 28257.03 27261.37 31868.24 32733.80 34476.73 27578.01 25351.20 27747.54 30776.20 27232.85 24672.76 33835.17 30847.37 32377.55 299
tpm68.36 17967.48 17170.97 23979.93 19051.34 16776.58 27678.75 23967.73 3763.54 16074.86 28048.33 6272.36 34053.93 21663.71 21689.21 110
MVS_030456.72 28655.17 28361.37 31870.71 30836.80 33675.74 27768.75 33344.11 32352.53 27968.20 32515.05 34974.53 32742.98 27958.44 25672.79 334
DTE-MVSNet57.03 28555.73 28160.95 32265.94 33332.57 34975.71 27877.09 27051.16 27846.65 31276.34 26732.84 24773.22 33630.94 32644.87 33377.06 301
tpmrst71.04 13169.77 13474.86 15083.19 11355.86 4975.64 27978.73 24067.88 3564.99 13573.73 28649.96 5479.56 29765.92 11767.85 19289.14 113
CostFormer73.89 8972.30 9578.66 6082.36 14056.58 3275.56 28085.30 10566.06 5770.50 8876.88 26057.02 1489.06 12768.27 10268.74 18590.33 82
HY-MVS67.03 573.90 8873.14 8276.18 12584.70 8047.36 25375.56 28086.36 8366.27 5170.66 8683.91 17751.05 4489.31 12367.10 10872.61 15791.88 43
K. test v354.04 30249.42 31067.92 27668.55 32242.57 30975.51 28263.07 34452.07 26939.21 33664.59 33519.34 33282.21 27037.11 29525.31 36178.97 278
Vis-MVSNet (Re-imp)65.52 22865.63 20665.17 29877.49 23230.54 35375.49 28377.73 25859.34 16552.26 28386.69 14949.38 5880.53 28537.07 29675.28 13284.42 201
pmmvs-eth3d55.97 29452.78 29865.54 29461.02 35346.44 26475.36 28467.72 33549.61 28543.65 32067.58 32721.63 32477.04 31644.11 27444.33 33473.15 333
TAPA-MVS56.12 1461.82 25660.18 25366.71 28678.48 21937.97 33175.19 28576.41 28346.82 30157.04 24486.52 15227.67 28777.03 31726.50 34367.02 19685.14 192
Andrea Romanoni, Matteo Matteucci: TAPA-MVS: Textureless-Aware PAtchMatch Multi-View Stereo. ICCV 2019
FMVSNet558.61 27756.45 27465.10 29977.20 23939.74 32374.77 28677.12 26950.27 28243.28 32367.71 32626.15 29676.90 31936.78 29954.78 29578.65 283
SixPastTwentyTwo54.37 29950.10 30667.21 28070.70 30941.46 31674.73 28764.69 34047.56 29539.12 33769.49 31918.49 33784.69 25331.87 32134.20 35475.48 315
F-COLMAP55.96 29553.65 29362.87 30972.76 28942.77 30574.70 28870.37 32840.03 33441.11 33279.36 22917.77 33973.70 33332.80 31953.96 30072.15 335
MSDG59.44 26555.14 28572.32 21074.69 26950.71 17474.39 28973.58 30544.44 31943.40 32277.52 24719.45 33190.87 8731.31 32457.49 27275.38 316
tpm270.82 13568.44 15077.98 8080.78 17556.11 4374.21 29081.28 19360.24 14868.04 10075.27 27852.26 3588.50 15255.82 20668.03 18989.33 105
UniMVSNet_ETH3D62.51 24960.49 25068.57 27268.30 32640.88 32173.89 29179.93 21151.81 27454.77 26179.61 22724.80 30681.10 27849.93 24161.35 23783.73 216
UA-Net67.32 20366.23 19270.59 24378.85 20741.23 31873.60 29275.45 29061.54 12766.61 11184.53 17038.73 17786.57 21242.48 28374.24 14083.98 210
Anonymous2024052151.65 31148.42 31261.34 32056.43 35939.65 32573.57 29373.47 31036.64 34536.59 34263.98 33610.75 35572.25 34135.35 30449.01 31672.11 336
ab-mvs70.65 13869.11 14475.29 14380.87 17446.23 27073.48 29485.24 11059.99 15166.65 10980.94 21943.13 13188.69 14363.58 13768.07 18890.95 69
LS3D56.40 29153.82 29164.12 30281.12 16645.69 27773.42 29566.14 33735.30 35143.24 32479.88 22522.18 32179.62 29619.10 35864.00 21467.05 347
testmvs6.14 3438.18 3460.01 3570.01 3800.00 38273.40 2960.00 3810.00 3750.02 3760.15 3750.00 3800.00 3760.02 3740.00 3740.02 372
UnsupCasMVSNet_eth57.56 28355.15 28464.79 30164.57 34333.12 34573.17 29783.87 14758.98 18141.75 32970.03 31822.54 31779.92 29246.12 26735.31 34881.32 257
anonymousdsp60.46 26257.65 26668.88 26363.63 34645.09 28072.93 29878.63 24246.52 30351.12 28872.80 29821.46 32583.07 26857.79 19153.97 29978.47 285
EU-MVSNet52.63 30850.72 30458.37 32862.69 35028.13 36072.60 29975.97 28530.94 35340.76 33472.11 30720.16 32970.80 34435.11 30946.11 33076.19 312
dp64.41 23361.58 24072.90 19682.40 13854.09 9372.53 30076.59 28160.39 14655.68 25870.39 31735.18 22676.90 31939.34 28861.71 23687.73 144
N_pmnet41.25 32339.77 32645.66 34168.50 3230.82 38072.51 3010.38 38035.61 34835.26 34761.51 34120.07 33067.74 34923.51 34940.63 34168.42 346
MDTV_nov1_ep1361.56 24181.68 14855.12 6572.41 30278.18 25059.19 17058.85 21369.29 32134.69 23086.16 21936.76 30062.96 228
YYNet153.82 30449.96 30765.41 29670.09 31448.95 21872.30 30371.66 32044.25 32131.89 35563.07 33923.73 31173.95 33033.26 31639.40 34473.34 330
MDA-MVSNet_test_wron53.82 30449.95 30865.43 29570.13 31349.05 21572.30 30371.65 32144.23 32231.85 35663.13 33823.68 31274.01 32933.25 31739.35 34573.23 332
testgi54.25 30152.57 30059.29 32562.76 34921.65 36772.21 30570.47 32753.25 26241.94 32777.33 25114.28 35077.95 31029.18 33051.72 31178.28 290
KD-MVS_2432*160059.04 27256.44 27566.86 28479.07 20145.87 27372.13 30680.42 20455.03 24648.15 30171.01 31136.73 20778.05 30735.21 30630.18 35976.67 304
miper_refine_blended59.04 27256.44 27566.86 28479.07 20145.87 27372.13 30680.42 20455.03 24648.15 30171.01 31136.73 20778.05 30735.21 30630.18 35976.67 304
PatchmatchNetpermissive67.07 21063.63 23077.40 9483.10 11458.03 1172.11 30877.77 25758.85 18359.37 20070.83 31337.84 18384.93 25042.96 28069.83 17989.26 107
Fangjinhua Wang, Silvano Galliani, Christoph Vogel, Pablo Speciale, Marc Pollefeys: PatchmatchNet: Learned Multi-View Patchmatch Stereo.
test1236.01 3448.01 3470.01 3570.00 3810.01 38171.93 3090.00 3810.00 3750.02 3760.11 3760.00 3800.00 3760.02 3740.00 3740.02 372
EPMVS68.45 17865.44 21277.47 9384.91 7756.17 4271.89 31081.91 18161.72 12360.85 18372.49 30036.21 21487.06 19547.32 25871.62 16489.17 112
UnsupCasMVSNet_bld53.86 30350.53 30563.84 30363.52 34734.75 33971.38 31181.92 18046.53 30238.95 33857.93 35020.55 32880.20 29039.91 28734.09 35576.57 308
COLMAP_ROBcopyleft43.60 2050.90 31348.05 31459.47 32467.81 32940.57 32271.25 31262.72 34636.49 34636.19 34473.51 29113.48 35173.92 33120.71 35450.26 31463.92 353
Johannes L. Schönberger, Enliang Zheng, Marc Pollefeys, Jan-Michael Frahm: Pixelwise View Selection for Unstructured Multi-View Stereo. ECCV 2016
MDTV_nov1_ep13_2view43.62 29671.13 31354.95 24859.29 20336.76 20646.33 26587.32 151
test_post170.84 31414.72 37234.33 23383.86 25748.80 248
new-patchmatchnet48.21 31746.55 31953.18 33557.73 35718.19 37170.24 31571.02 32645.70 30933.70 35060.23 34418.00 33869.86 34727.97 33734.35 35271.49 341
pmmvs345.53 32241.55 32557.44 33048.97 36539.68 32470.06 31657.66 35028.32 35634.06 34957.29 3518.50 36066.85 35034.86 31134.26 35365.80 350
tpmvs62.45 25259.42 25771.53 23083.93 9454.32 8770.03 31777.61 26051.91 27153.48 27568.29 32437.91 18286.66 20733.36 31558.27 25873.62 328
tpm cat166.28 22162.78 23276.77 11581.40 16257.14 2470.03 31777.19 26753.00 26358.76 21570.73 31646.17 8586.73 20543.27 27764.46 21286.44 169
PatchMatch-RL56.66 28753.75 29265.37 29777.91 22845.28 27969.78 31960.38 34741.35 33247.57 30673.73 28616.83 34276.91 31836.99 29759.21 25073.92 326
MDA-MVSNet-bldmvs51.56 31247.75 31763.00 30871.60 30147.32 25469.70 32072.12 31643.81 32427.65 36063.38 33721.97 32375.96 32127.30 34032.19 35665.70 351
miper_lstm_enhance63.91 23662.30 23568.75 26875.06 26546.78 25969.02 32181.14 19459.68 15752.76 27872.39 30340.71 15877.99 30956.81 19953.09 30781.48 249
GG-mvs-BLEND77.77 8486.68 4650.61 17668.67 32288.45 4768.73 9487.45 13659.15 1090.67 9054.83 20987.67 1792.03 39
OurMVSNet-221017-052.39 30948.73 31163.35 30765.21 33838.42 32968.54 32364.95 33938.19 33839.57 33571.43 31013.23 35279.92 29237.16 29340.32 34371.72 338
MIMVSNet150.35 31447.81 31557.96 32961.53 35227.80 36167.40 32474.06 30043.25 32733.31 35465.38 33416.03 34671.34 34221.80 35147.55 32274.75 320
MTAPA72.73 10571.22 11377.27 9981.54 15653.57 10267.06 32581.31 19059.41 16268.39 9790.96 6136.07 21689.01 13173.80 7082.45 6589.23 108
MIMVSNet63.12 24360.29 25271.61 22675.92 25646.65 26165.15 32681.94 17859.14 17554.65 26369.47 32025.74 29880.63 28341.03 28569.56 18287.55 146
XVG-OURS-SEG-HR62.02 25459.54 25669.46 25965.30 33745.88 27265.06 32773.57 30646.45 30457.42 24183.35 18726.95 29178.09 30553.77 21764.03 21384.42 201
XVG-OURS61.88 25559.34 25869.49 25865.37 33646.27 26864.80 32873.49 30747.04 29957.41 24282.85 19225.15 30478.18 30353.00 22264.98 20684.01 207
gg-mvs-nofinetune67.43 19964.53 22376.13 12685.95 5047.79 24864.38 32988.28 4839.34 33566.62 11041.27 35758.69 1389.00 13349.64 24486.62 3291.59 48
XVG-ACMP-BASELINE56.03 29352.85 29765.58 29361.91 35140.95 32063.36 33072.43 31345.20 31446.02 31474.09 2839.20 35978.12 30445.13 26958.27 25877.66 297
TinyColmap48.15 31844.49 32259.13 32665.73 33538.04 33063.34 33162.86 34538.78 33629.48 35867.23 3296.46 36573.30 33524.59 34641.90 34066.04 349
MVS-HIRNet49.01 31644.71 32061.92 31476.06 25246.61 26263.23 33254.90 35324.77 35833.56 35136.60 36121.28 32675.88 32229.49 32862.54 23163.26 355
PM-MVS46.92 32043.76 32456.41 33252.18 36232.26 35063.21 33338.18 36637.99 34040.78 33366.20 3305.09 36865.42 35148.19 25341.99 33971.54 340
AllTest47.32 31944.66 32155.32 33365.08 33937.50 33362.96 33454.25 35535.45 34933.42 35272.82 2969.98 35659.33 35524.13 34743.84 33569.13 343
USDC54.36 30051.23 30363.76 30464.29 34437.71 33262.84 33573.48 30956.85 22035.47 34671.94 3099.23 35878.43 30138.43 29048.57 31775.13 319
Patchmatch-RL test58.72 27654.32 28871.92 22363.91 34544.25 29061.73 33655.19 35257.38 21349.31 29754.24 35337.60 19080.89 28062.19 14647.28 32490.63 74
SCA63.84 23760.01 25475.32 14278.58 21557.92 1261.61 33777.53 26156.71 22557.75 23270.77 31431.97 25679.91 29448.80 24856.36 27788.13 135
CMPMVSbinary40.41 2155.34 29652.64 29963.46 30660.88 35443.84 29461.58 33871.06 32530.43 35436.33 34374.63 28224.14 30975.44 32348.05 25466.62 19771.12 342
M. Jancosek, T. Pajdla: Multi-View Reconstruction Preserving Weakly-Supported Surfaces. CVPR 2011
LCM-MVSNet-Re58.82 27556.54 27365.68 29279.31 19829.09 35861.39 33945.79 36060.73 14237.65 34172.47 30131.42 26281.08 27949.66 24370.41 17486.87 157
CR-MVSNet62.47 25159.04 26172.77 19973.97 27856.57 3360.52 34071.72 31860.04 14957.49 23865.86 33138.94 17480.31 28742.86 28159.93 24381.42 250
RPMNet59.29 26654.25 28974.42 15873.97 27856.57 3360.52 34076.98 27135.72 34757.49 23858.87 34937.73 18785.26 24227.01 34159.93 24381.42 250
EGC-MVSNET33.75 32830.42 33243.75 34264.94 34136.21 33760.47 34240.70 3650.02 3740.10 37553.79 3547.39 36160.26 35311.09 36535.23 35034.79 363
Patchmtry56.56 28952.95 29667.42 27972.53 29250.59 17859.05 34371.72 31837.86 34146.92 30965.86 33138.94 17480.06 29136.94 29846.72 32971.60 339
TDRefinement40.91 32438.37 32748.55 33950.45 36333.03 34758.98 34450.97 35828.50 35529.89 35767.39 3286.21 36754.51 35917.67 36035.25 34958.11 356
KD-MVS_self_test49.24 31546.85 31856.44 33154.32 36022.87 36457.39 34573.36 31144.36 32037.98 34059.30 34818.97 33471.17 34333.48 31442.44 33875.26 317
PatchT56.60 28852.97 29567.48 27872.94 28746.16 27157.30 34673.78 30338.77 33754.37 26657.26 35237.52 19278.06 30632.02 32052.79 30878.23 292
ANet_high34.39 32729.59 33348.78 33830.34 37322.28 36555.53 34763.79 34338.11 33915.47 36436.56 3626.94 36259.98 35413.93 3635.64 37364.08 352
ADS-MVSNet255.21 29851.44 30266.51 28980.60 18049.56 20655.03 34865.44 33844.72 31651.00 28961.19 34222.83 31475.41 32428.54 33453.63 30174.57 322
ADS-MVSNet56.17 29251.95 30168.84 26480.60 18053.07 12455.03 34870.02 33044.72 31651.00 28961.19 34222.83 31478.88 30028.54 33453.63 30174.57 322
RPSCF45.77 32144.13 32350.68 33757.67 35829.66 35454.92 35045.25 36226.69 35745.92 31575.92 27517.43 34145.70 36627.44 33945.95 33176.67 304
new_pmnet33.56 32931.89 33138.59 34549.01 36420.42 36851.01 35137.92 36720.58 35923.45 36146.79 3566.66 36449.28 36420.00 35731.57 35846.09 362
E-PMN19.16 33618.40 34021.44 35236.19 37113.63 37447.59 35230.89 37210.73 3675.91 37216.59 3683.66 37139.77 3685.95 3708.14 36810.92 368
EMVS18.42 33717.66 34120.71 35334.13 37212.64 37546.94 35329.94 37310.46 3695.58 37314.93 3714.23 37038.83 3695.24 3727.51 37010.67 369
CHOSEN 280x42057.53 28456.38 27760.97 32174.01 27648.10 24446.30 35454.31 35448.18 29250.88 29277.43 25038.37 18059.16 35754.83 20963.14 22675.66 314
LTVRE_ROB45.45 1952.73 30749.74 30961.69 31569.78 31534.99 33844.52 35567.60 33643.11 32843.79 31974.03 28418.54 33681.45 27628.39 33657.94 26568.62 345
Andreas Kuhn, Heiko Hirschmüller, Daniel Scharstein, Helmut Mayer: A TV Prior for High-Quality Scalable Multi-View Stereo Reconstruction. International Journal of Computer Vision 2016
LF4IMVS33.04 33032.55 33034.52 34840.96 36822.03 36644.45 35635.62 36920.42 36028.12 35962.35 3405.03 36931.88 37221.61 35334.42 35149.63 360
Patchmatch-test53.33 30648.17 31368.81 26673.31 28142.38 31042.98 35758.23 34932.53 35238.79 33970.77 31439.66 17073.51 33425.18 34552.06 31090.55 75
PMMVS226.71 33322.98 33737.87 34636.89 3708.51 37742.51 35829.32 37419.09 36313.01 36637.54 3582.23 37353.11 36014.54 36211.71 36651.99 359
FPMVS35.40 32633.67 32940.57 34446.34 36728.74 35941.05 35957.05 35120.37 36122.27 36253.38 3556.87 36344.94 3678.62 36647.11 32648.01 361
PMVScopyleft19.57 2225.07 33422.43 33832.99 35023.12 37722.98 36340.98 36035.19 37015.99 36411.95 36835.87 3631.47 37749.29 3635.41 37131.90 35726.70 365
Y. Furukawa, J. Ponce: Accurate, dense, and robust multiview stereopsis. PAMI (2010)
JIA-IIPM52.33 31047.77 31666.03 29171.20 30646.92 25840.00 36176.48 28237.10 34246.73 31037.02 35932.96 24577.88 31135.97 30152.45 30973.29 331
DSMNet-mixed38.35 32535.36 32847.33 34048.11 36614.91 37337.87 36236.60 36819.18 36234.37 34859.56 34715.53 34753.01 36120.14 35646.89 32874.07 324
ambc62.06 31253.98 36129.38 35635.08 36379.65 21841.37 33059.96 3456.27 36682.15 27135.34 30538.22 34674.65 321
LCM-MVSNet28.07 33123.85 33640.71 34327.46 37618.93 37030.82 36446.19 35912.76 36616.40 36334.70 3641.90 37548.69 36520.25 35524.22 36254.51 358
test_method24.09 33521.07 33933.16 34927.67 3758.35 37826.63 36535.11 3713.40 37114.35 36536.98 3603.46 37235.31 37119.08 35922.95 36355.81 357
wuyk23d9.11 3418.77 34510.15 35540.18 36916.76 37220.28 3661.01 3792.58 3722.66 3740.98 3740.23 37912.49 3744.08 3736.90 3711.19 371
MVEpermissive16.60 2317.34 33913.39 34229.16 35128.43 37419.72 36913.73 36723.63 3757.23 3707.96 37021.41 3660.80 37836.08 3706.97 36810.39 36731.69 364
Simon Fuhrmann, Fabian Langguth, Michael Goesele: MVE - A Multi-View Reconstruction Environment. EUROGRAPHICS Workshops on Graphics and Cultural Heritage (2014)
Gipumacopyleft27.47 33224.26 33537.12 34760.55 35529.17 35711.68 36860.00 34814.18 36510.52 36915.12 3702.20 37463.01 3528.39 36735.65 34719.18 366
S. Galliani, K. Lasinger, K. Schindler: Massively Parallel Multiview Stereopsis by Surface Normal Diffusion. ICCV 2015
tmp_tt9.44 34010.68 3435.73 3562.49 3794.21 37910.48 36918.04 3760.34 37312.59 36720.49 36711.39 3537.03 37513.84 3646.46 3725.95 370
test_blank0.00 3460.00 3490.00 3590.00 3810.00 3820.00 3700.00 3810.00 3750.00 3780.00 3770.00 3800.00 3760.00 3760.00 3740.00 374
uanet_test0.00 3460.00 3490.00 3590.00 3810.00 3820.00 3700.00 3810.00 3750.00 3780.00 3770.00 3800.00 3760.00 3760.00 3740.00 374
cdsmvs_eth3d_5k18.33 33824.44 3340.00 3590.00 3810.00 3820.00 37089.40 190.00 3750.00 37892.02 4038.55 1780.00 3760.00 3760.00 3740.00 374
pcd_1.5k_mvsjas3.15 3454.20 3480.00 3590.00 3810.00 3820.00 3700.00 3810.00 3750.00 3780.00 37737.77 1840.00 3760.00 3760.00 3740.00 374
sosnet-low-res0.00 3460.00 3490.00 3590.00 3810.00 3820.00 3700.00 3810.00 3750.00 3780.00 3770.00 3800.00 3760.00 3760.00 3740.00 374
sosnet0.00 3460.00 3490.00 3590.00 3810.00 3820.00 3700.00 3810.00 3750.00 3780.00 3770.00 3800.00 3760.00 3760.00 3740.00 374
uncertanet0.00 3460.00 3490.00 3590.00 3810.00 3820.00 3700.00 3810.00 3750.00 3780.00 3770.00 3800.00 3760.00 3760.00 3740.00 374
Regformer0.00 3460.00 3490.00 3590.00 3810.00 3820.00 3700.00 3810.00 3750.00 3780.00 3770.00 3800.00 3760.00 3760.00 3740.00 374
ab-mvs-re7.68 34210.24 3440.00 3590.00 3810.00 3820.00 3700.00 3810.00 3750.00 37892.12 360.00 3800.00 3760.00 3760.00 3740.00 374
uanet0.00 3460.00 3490.00 3590.00 3810.00 3820.00 3700.00 3810.00 3750.00 3780.00 3770.00 3800.00 3760.00 3760.00 3740.00 374
MSC_two_6792asdad81.53 1591.77 456.03 4591.10 696.22 881.46 1986.80 2992.34 30
PC_three_145266.58 4787.27 293.70 966.82 494.95 1889.74 291.98 493.98 5
No_MVS81.53 1591.77 456.03 4591.10 696.22 881.46 1986.80 2992.34 30
test_one_060189.39 2257.29 2288.09 5057.21 21682.06 1193.39 1354.94 23
eth-test20.00 381
eth-test0.00 381
ZD-MVS89.55 1453.46 10684.38 13257.02 21873.97 4791.03 5744.57 11091.17 7775.41 5881.78 75
IU-MVS89.48 1757.49 1791.38 566.22 5288.26 182.83 887.60 1892.44 27
test_241102_TWO88.76 3757.50 21183.60 694.09 456.14 1896.37 682.28 1287.43 2092.55 25
test_241102_ONE89.48 1756.89 2888.94 2957.53 20984.61 493.29 1658.81 1196.45 1
test_0728_THIRD58.00 19681.91 1293.64 1156.54 1596.44 281.64 1786.86 2692.23 33
GSMVS88.13 135
test_part289.33 2355.48 5382.27 10
sam_mvs138.86 17688.13 135
sam_mvs35.99 220
MTGPAbinary81.31 190
test_post16.22 36937.52 19284.72 252
patchmatchnet-post59.74 34638.41 17979.91 294
gm-plane-assit83.24 11154.21 9070.91 1288.23 12395.25 1566.37 113
test9_res78.72 3485.44 4591.39 56
agg_prior275.65 5385.11 4991.01 66
agg_prior85.64 5854.92 7283.61 15272.53 6488.10 167
TestCases55.32 33365.08 33937.50 33354.25 35535.45 34933.42 35272.82 2969.98 35659.33 35524.13 34743.84 33569.13 343
test_prior78.39 6986.35 4854.91 7485.45 9789.70 11690.55 75
新几何173.30 19183.10 11453.48 10571.43 32345.55 31066.14 11787.17 14233.88 23980.54 28448.50 25180.33 8885.88 179
旧先验181.57 15547.48 25071.83 31788.66 11436.94 20378.34 10888.67 124
原ACMM176.13 12684.89 7854.59 8485.26 10851.98 27066.70 10887.07 14440.15 16589.70 11651.23 23585.06 5084.10 204
testdata277.81 31345.64 268
segment_acmp44.97 104
testdata67.08 28277.59 23045.46 27869.20 33244.47 31871.50 7988.34 11931.21 26370.76 34552.20 23175.88 12685.03 193
test1279.24 4086.89 4456.08 4485.16 11272.27 6947.15 7691.10 8085.93 3890.54 78
plane_prior777.95 22548.46 235
plane_prior678.42 22049.39 21036.04 218
plane_prior582.59 17088.30 16065.46 12372.34 15984.49 199
plane_prior483.28 188
plane_prior348.95 21864.01 8462.15 172
plane_prior178.31 222
n20.00 381
nn0.00 381
door-mid41.31 364
lessismore_v067.98 27564.76 34241.25 31745.75 36136.03 34565.63 33319.29 33384.11 25635.67 30221.24 36478.59 284
LGP-MVS_train72.02 21574.42 27248.60 22780.64 20054.69 25153.75 27283.83 17825.73 29986.98 19660.33 16764.71 20880.48 267
test1184.25 137
door43.27 363
HQP5-MVS51.56 160
BP-MVS66.70 110
HQP4-MVS64.47 14588.61 14684.91 196
HQP3-MVS83.68 14973.12 150
HQP2-MVS37.35 195
NP-MVS78.76 20850.43 18285.12 166
ACMMP++_ref63.20 224
ACMMP++59.38 248
Test By Simon39.38 171
ITE_SJBPF51.84 33658.03 35631.94 35253.57 35736.67 34441.32 33175.23 27911.17 35451.57 36225.81 34448.04 31972.02 337
DeepMVS_CXcopyleft13.10 35421.34 3788.99 37610.02 37810.59 3687.53 37130.55 3651.82 37614.55 3736.83 3697.52 36915.75 367